Quantitative Microstructural Analysis of Unidirectional Carbon Fiber Reinforced Polymer Composites. Part 1. Microstructural Characterization of Composite Cross Section PDF Download

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Quantitative Microstructural Analysis of Unidirectional Carbon Fiber Reinforced Polymer Composites. Part 1. Microstructural Characterization of Composite Cross Section

Quantitative Microstructural Analysis of Unidirectional Carbon Fiber Reinforced Polymer Composites. Part 1. Microstructural Characterization of Composite Cross Section PDF Author: John J. Ricca
Publisher:
ISBN:
Category :
Languages : en
Pages : 40

Book Description
Individual axial tensile specimens of AS4/3501-6 and T300/934 unidirectional carbon fiber reinforced polymer composite laminate systems are characterized microstructurally. Fiber volume, fractional fiber volume, fiber uniformity, void volume, and variations in laminate thickness are acquired using automated quantitative image analysis (QIA). The sample preparation methods and QIA system procedures are fully explained. The problems in determining average or batch fiber contents in composite laminates using current methods are discussed. Possible problems in using micrometer thickness data in fiber content calculations are discussed when variations in specimen thickness due to surface contours are present. Variations in microstructure exhibited within a single fabricating company, between several fabricating companies, and between two different fiber-resin systems are demonstrated. Overall, QIA was determined to be a precise means of determining fiber and void contents and uniformity in individual test specimens prior to or after mechanical testing. (aw).

Quantitative Microstructural Analysis of Unidirectional Carbon Fiber Reinforced Polymer Composites. Part 1. Microstructural Characterization of Composite Cross Section

Quantitative Microstructural Analysis of Unidirectional Carbon Fiber Reinforced Polymer Composites. Part 1. Microstructural Characterization of Composite Cross Section PDF Author: John J. Ricca
Publisher:
ISBN:
Category :
Languages : en
Pages : 40

Book Description
Individual axial tensile specimens of AS4/3501-6 and T300/934 unidirectional carbon fiber reinforced polymer composite laminate systems are characterized microstructurally. Fiber volume, fractional fiber volume, fiber uniformity, void volume, and variations in laminate thickness are acquired using automated quantitative image analysis (QIA). The sample preparation methods and QIA system procedures are fully explained. The problems in determining average or batch fiber contents in composite laminates using current methods are discussed. Possible problems in using micrometer thickness data in fiber content calculations are discussed when variations in specimen thickness due to surface contours are present. Variations in microstructure exhibited within a single fabricating company, between several fabricating companies, and between two different fiber-resin systems are demonstrated. Overall, QIA was determined to be a precise means of determining fiber and void contents and uniformity in individual test specimens prior to or after mechanical testing. (aw).

Energy Research Abstracts

Energy Research Abstracts PDF Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 852

Book Description


Microstructural Characterisation of Fibre-Reinforced Composites

Microstructural Characterisation of Fibre-Reinforced Composites PDF Author: John Summerscales
Publisher: CRC Press
ISBN: 9780849338823
Category : Technology & Engineering
Languages : en
Pages : 350

Book Description
In the past 50 years, great progress has been made in developing artificial fiber-reinforced composite materials, generally using filaments with microscopic diameters. An array of reinforcement forms can be used in commercial applications - with the microstructure being a critical factor in realizing the required properties in a material. Microstructural Characterisation of Fibre-Reinforced Composites comprehensively examines the application of advanced microstructural characterization techniques to fiber-reinforced composites.

Data-driven Learning and Modeling of Carbon Fiber Reinforced Polymer Composites

Data-driven Learning and Modeling of Carbon Fiber Reinforced Polymer Composites PDF Author: Shenli Pei
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
Carbon-fiber-reinforced polymer (CFRP) composites are being widely used as lightweight and high strength material in aerospace and automotive industries, owing to their high specific modulus, high specific strength, and good corrosion and fatigue resistance. The material performance of CFRP composites highly depends on the material manufacturing process and the inherent internal microstructure. Therefore, this dissertation attempts to unveil the underlying process-structure and structure-property relations by integrating data science and informatics with microstructure characterization. Specifically, this dissertation focuses on developing analytical approaches for CFRP composites from X-ray computed tomography (XCT) images, a nondestructive testing, and three key research topics were identified. These topics include a) developing a 3D microstructure characterization approach for non-uniformly oriented CFRP composites, b) establishing physics-based features to quantify the spatiotemporal progression of tensile fractures in CFRP composites, and c) comprehending the process-structure-property (P-S-P) relations of fused filament fabricated CFRP composite through developing image-based analytical methods that quantitatively examines the microstructure variations and its effect on the tensile property. For the first research topic, a 3D microstructure analysis framework was developed to quantitatively analyze fiber morphology (e.g. fiber curvature, orientation, and length distribution) for non-uniformly orientated fiber systems using micro-XCT ([mu]XCT) images. For this purpose, numerical image processing techniques and iterative local fiber-tracking approaches were developed to extract individual fibers from congested fiber systems, and statistical distribution of the fiber morphology was formulated using tensor representation. The derived statistics were integrated with the physics-based Halpin-Tsai model and laminate analogy to estimate the material modulus. The fidelity of the characterization was validated through experimental results for injection molded short and long CFRP composites, which provided a valid alternative for finite element analysis. For the second research topic, the spatiotemporal characterization of the fracture behavior of CFRP composites was established through the implementation of in-situ [mu]XCT. The fracture features were automatically extracted from the 3D [mu]XCT image using the image processing techniques, and physics-based features were developed to quantitatively measure the progression of failure behavior. The proposed characterization approach was implemented on sheet molding compound and injection molded CFRP composites, where the spatiotemporal characterization of fracture behavior was quantified and visualized. It provided insights into the microscale failure mechanism, and the validity of the proposed characterization approach was confirmed by the strain field calculation using a volumetric digital image correlation. For the third research topic, a P-S-P approach was proposed to unveil the underlying relation between the process parameter of fused filament fabrication (FFF) and uncertainties in the microstructure of the printed CFRP composite. An image-based statistical analysis was developed to formulate a stochastic model for the microstructure distribution (i.e., fiber and void volume fraction), and analysis of variance was implemented to establish the correlation between the process parameters and resulting microstructure. The structure-property relation was investigated by employing the physics-based Halpin-Tsai model to predict the material modulus. A data-driven optimization scheme was developed for the Halpin-Tsai model to account for the complex effect from the FFF process and craze nucleation from voids; therefore, the optimized model provided an accurate estimation of longitudinal modulus of FFF parts. Further, a Monte-Carlo sampling method was adopted to investigate the propagated uncertainties in the structure-property relation.

Damage and Failure of Composite Materials

Damage and Failure of Composite Materials PDF Author: Ramesh Talreja
Publisher: Cambridge University Press
ISBN: 0521819423
Category : Science
Languages : en
Pages : 315

Book Description
Bringing together materials mechanics and modelling, this book provides a complete guide to damage mechanics of composite materials for engineers.

Government reports annual index

Government reports annual index PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1570

Book Description


Government Reports Announcements & Index

Government Reports Announcements & Index PDF Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 456

Book Description


Quantitative Description of Composites' Microstructure. Part I

Quantitative Description of Composites' Microstructure. Part I PDF Author: R. Pyrz
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Analysis and Performance of Fiber Composites

Analysis and Performance of Fiber Composites PDF Author: Bhagwan D. Agarwal
Publisher: Wiley-Interscience
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 480

Book Description
Having fully established themselves as workable engineering materials, composite materials are now increasingly commonplace around the world. Serves as both a text and reference guide to the behavior of composite materials in different engineering applications. Revised for this Second Edition, the text includes a general discussion of composites as material, practical aspects of design and performance, and further analysis that will be helpful to those engaged in research on composites. Each chapter closes with references for further reading and a set of problems that will be useful in developing a better understanding of the subject.

Characterization of Composite Materials

Characterization of Composite Materials PDF Author: Hatsuo Ishida
Publisher: Elsevier
ISBN: 1483292371
Category : Technology & Engineering
Languages : en
Pages : 292

Book Description
Now, in one book, there is coverage of modern surface analytical techniques applied specifically to composite materials. Centering around spectroscopic characterization of composites and polymer-matrix composities, Characterization of CompositeMaterials covers techniques with a demonstrated use for composite stuides along with promising new techniques such as STM/AFM and special Raman spectroscopy. Each chapter will cover a specific technique and will provide basic background information, theories of the technique, and application examples, including futuristic state-of-the-art applications. Detailed information about the individual characterization techniques mentioned can be found in the Encyclopaedia of Materials Cahracterization, the companion volume in the Materials Characterization Series: surfaces, interfaces, thin films.